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The analysis reveals that the opening up of data by TfL has generated approximately £130 million for the London economy.
The analysis revealed that the data are highly credible with a mean Q-value of 36 (Additional file 1: Figure S1).
The data analysis reveals that students still display difficulties in their learning.
The joint analysis reveals large interdependencies between data and model evaluations.
The missing data analysis revealed 100% of data available for all the variables used in the algorithm.
The illustrative data analysis reveals an encouraging result in terms of prediction performance and computational cost.
The data analysis revealed that the reason is the incorrect implementation of algorithms in the JPL processing routines.
The data analysis revealed the core category, "Self-determination - shifting between self-governing and being governed".
The results of the data analysis reveal that presence of EIPs can help a company realize the benefits of c-commerce.
Exploratory data analysis revealed the soil metals data were highly positively skewed; therefore, geometric means of the data were taken as an average measure.
The data analysis revealed that a majority of the teachers employed unfocused direct WCF.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com